Senior Data Analyst

Nelly Solutions

(Senior) Data Analyst transforming health and finance data into trustworthy models for fintech startup. Collaborating across teams to deliver critical business insights and reporting.

Posted 6/5/2026full-timeBerlin • 🇩🇪 GermanySeniorWebsite

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Design, build, and maintain scalable data models using dbt and strong SQL, with a focus on robust data marts and a clean semantic layer
Own the BI layer (Looker/LookML) end-to-end, creating self-service Explores that give the entire company a single source of truth for analysis
Translate complex business logic into structured data models, including topics such as Customer Health Scores, NRR (cohort-based), CAC Payback, product unit economics, churn, provisions, and commercial KPIs.
Unify and harmonize data across systems such as Salesforce, Product Data, HubSpot, Jira, Intercom, Personio, and internal booking/factoring systems.
Develop end-to-end reporting solutions from requirement gathering and data validation to Looker dashboards and stakeholder-ready reports.
Build advanced analyses such as:
- Sales funnel and GTM performance tracking
- Commercial KPI automation
- Cohort-based NRR, CAC payback and churn analytics
- Revenue reconciliation (Signed vs. Actual Revenue)
- Customer and usage benchmarks (including regional usage / booking patterns)
Ensure data quality and cross-functional alignment:
- Identify gaps in data collection and instrumentation before modeling begins, ensuring quality, consistency, and long-term scalability
- Establish tests and validation logic in dbt to guarantee reliability and transparency across data models
- Collaborate closely with Product, Commercial and Finance to deeply understand the processes generating the data
- Support system alignment between tools to ensure consistent reporting logic across the organization

Requirements

What you’ll need

Strong hands-on experience with SQL, modular query design and dimensional data modeling (star schemas, fact/dimension design).
Production experience designing and maintaining scalable data models using modern transformation tools (e.g. dbt, SQLMesh, Metabase), including testing and documentation.
Experience developing SQL-based data marts and self-service explores BI-tool with modeling capabilities (e.g. Looker)
Solid understanding of revenue metrics (MRR, NRR, churn, cohort logic), SaaS KPIs, and GTM performance metrics.
Experience integrating and modeling data from tools such as Salesforce, HubSpot, CRM systems, and financial systems.
Strong stakeholder management skills and the ability to translate ambiguous business questions into structured analytical frameworks.
A proactive mindset - you question definitions, challenge inconsistencies, and improve processes instead of just reporting on them.
Fluency in SQL; Experience in dbt and Looker/LookML is a plus
Professional proficiency in English; German is a plus.

Benefits

Comp & perks

Competitive salary
Work in a great team of talented and highly motivated people
Dynamic environment, steep learning curve, and extensive development opportunities
Part of an exciting AI enabled FinTech startup in the German healthcare market
Responsibility, independent work, and high flexibility
Generous budget for learning and development
First-class work equipment and flexible working hours
Deutschlandticket or Swapfiets rental bike
Urban Sports Club membership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLdbtdimensional data modelingdata martsLookerLookMLmodular query designdata validationdata qualityrevenue metrics

Soft Skills

stakeholder managementanalytical frameworksproactive mindsetcollaborationcommunication